Robots Reason. Robots React.

Hi folks,

Robots are getting better at reading the room—and the real world.

June saw two big releases that push physical AI from lab curiosity to field-capable software: Meta’s V-JEPA 2 and Google’s Gemini Robotics On-Device. Different goals, same theme—training machines to think and act in the real world.

Meta: Making Machines Imagine

Meta’s V-JEPA 2 is a world model. This sounds philosophical, but here it just means: it can watch the world and make predictions about what happens next.

Trained on over a million hours of video, it lets robots reason through new environments, anticipate outcomes, and plan actions without needing environment-specific training.

V-JEPA 2 both recognizes what it sees and imagines what might happen next. If that sounds like a toddler who’s watched too many surveillance videos, well, that’s not entirely wrong.

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Google: Getting Hands Dirty

While Meta trains minds, Google is making hands move.

Gemini Robotics On-Device is a compact model that runs on the robot, not in the cloud. It lets robots fold, unzip, pour, and generally handle real-world messiness—with minimal lag and maximum independence.

Trained for dual-arm systems, Gemini can adapt to new tasks with just 50–100 examples. And it’s not picky: it works across robot types, from ALOHA to humanoid platforms like Apptronik’s Apollo.

Brains, Biceps, and the New Stack

Taken together, these two launches sketch a new kind of robotics stack:

• Meta trains foresight. Robots imagine possible futures and chart a course.

• Google handles follow-through. Robots execute—directly, locally, and with dexterity.

Robotics is beginning to look more like scalable infrastructure than sci-fi.

From Fixed Routines to Flexible Robots

These models let robots reason through chaos, adapt to unfamiliar tools, and act with minimal supervision. That’s the heart of physical AI—learning how to operate in a world that rarely repeats itself.

Early days still—but these models offer a clear template for perception, planning, and physical action.

Best,
Spatial